Supannada Chotiphan
Papers
2
Total Citations
11
H-Index
2
About
Supannada Chotiphan is a researcher focused on advancing robotics and optimization algorithms for sustainable waste management. Her primary research areas include energy-efficient path planning, swarm intelligence, and the application of bio-inspired algorithms to autonomous systems. Chotiphan’s major contribution lies in adapting the Ant Colony Optimization (ACO) algorithm to solve complex routing problems for waste collection robots, significantly reducing energy consumption while improving operational efficiency. Her most-cited work, "Adapted ACO Algorithm for Energy-Efficient Path Finding of Waste Collection Robot" (2022, 7 citations), demonstrates how autonomous robots can replace manual labor in large facilities, cutting costs and human effort. Complementing this, her earlier study "Energy optimal path finding for waste collection robot using ant colony optimization algorithm" (2021, 4 citations) laid the groundwork for integrating SWM challenges with computational intelligence. Collectively, her papers have garnered over a dozen citations, reflecting growing interest in smart waste solutions. Chotiphan’s research addresses a pressing global issue—solid waste collection—by merging theoretical optimization with practical robotics, offering scalable, eco-friendly alternatives to traditional labor-intensive methods. Her work is particularly valuable for students and engineers exploring autonomous systems, green logistics, and the intersection of AI with environmental sustainability.
Research Focus
Key Achievements
Top Papers
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